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Contact-Less Real-Time Monitoring of Cardiovascular Risk Using Video Imaging and Fuzzy Inference Rules., , , and . Inf., 10 (1): 9 (2019)A framework for intelligent Twitter data analysis with non-negative matrix factorization., , , and . Int. J. Web Inf. Syst., 14 (3): 334-356 (2018)Confidence path regularization for handling label uncertainty in semi-supervised learning: use case in bipolar disorder monitoring., , , , and . FUZZ-IEEE, page 1-8. IEEE, (2022)Intelligent analysis of data streams about phone calls for bipolar disorder monitoring., , , and . FUZZ-IEEE, page 1-6. IEEE, (2021)Framing automatic grading techniques for open-ended questionnaires responses. A short survey., , , , , , , , and . teleXbe (2), volume 3025 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Explainable Artificial Intelligence for Human-Centric Data Analysis in Virtual Learning Environments., and . HELMeTO, volume 1091 of Communications in Computer and Information Science, page 125-138. Springer, (2019)Dynamic Incremental Semi-supervised Fuzzy Clustering for Bipolar Disorder Episode Prediction., , , and . DS, volume 12323 of Lecture Notes in Computer Science, page 79-93. Springer, (2020)A Novel Approach for Supporting Italian Satire Detection Through Deep Learning., , , , , and . FQAS, volume 12871 of Lecture Notes in Computer Science, page 170-181. Springer, (2021)On the use of FIS inside a Telehealth system for cardiovascular risk monitoring., , and . MED, page 173-178. IEEE, (2021)Balancing Accuracy and Interpretability through Neuro-Fuzzy Models for Cardiovascular Risk Assessment., , , and . SSCI, page 1-8. IEEE, (2021)